https://github.com/lucapodo/v-recs
공식 코드V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lucy66666/okt
공식 코드https://github.com/m-hasan-n/roundabout
공식 코드https://github.com/maastrichtlawtech/lleqa
공식 코드Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
https://github.com/mabergerx/SDP500_expert_search
공식 코드Effective Distributed Representations for Academic Expert Search
https://github.com/maestro-project/airchitect-v2
공식 코드AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations
https://github.com/maestro-project/gamma-timeloop
공식 코드https://github.com/manglanisagar/vision-search-navigation
공식 코드Real-time Vision-based Navigation for a Robot in an Indoor Environment
https://github.com/manish-pra/safemac
공식 코드https://github.com/manuelcebrianramos/llm_supervision_policies
공식 코드Supervision policies can shape long-term risk management in general-purpose AI models
https://github.com/manuelmlmadeira/DeFoG
공식 코드https://github.com/map-learning/tl2la
공식 코드Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data
https://github.com/marcosfp97/llm-binary-health-qa
공식 코드Evaluating Search Engines and Large Language Models for Answering Health Questions
https://github.com/marcusvaltonen/minimal_indoor_uav
공식 코드https://github.com/marsaki/etpnav
공식 코드ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments
https://github.com/martin-bayon/tednet
공식 코드TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection
https://github.com/marwaltz/two-step-doa
공식 코드https://github.com/matt-bendel/pcagan
공식 코드pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
https://github.com/mattapow/dodonaphy
공식 코드Fidelity of Hyperbolic Space for Bayesian Phylogenetic Inference
https://github.com/matval/wayfast
공식 코드WayFAST: Navigation with Predictive Traversability in the Field
https://github.com/maximecb/gym-miniworld
공식 코드Towards real-world navigation with deep differentiable planners
https://github.com/maxlampe/taimh_eval
공식 코드Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation
https://github.com/mbrossar/ai-imu-dr
공식 코드https://github.com/mcederle99/MAD4QN-PS
공식 코드A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
https://github.com/mchancan/deepseqslam
공식 코드Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
https://github.com/mcxiaoxiao/MMSQL
공식 코드Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types
https://github.com/mengfeidu/delan
공식 코드DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning
https://github.com/mfe7/cadrl_ros
공식 코드Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
https://github.com/mgkumar138/TDHL_6PA
공식 코드A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation
https://github.com/mh0797/interplan
공식 코드Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
https://github.com/michigan-traffic-lab/DECODE
공식 코드DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
https://github.com/microsoft/UFO
공식 코드https://github.com/microsoft/data-formulator
공식 코드https://github.com/mingkai-zheng/genius
공식 코드https://github.com/minhducbui/multi3hate
공식 코드https://github.com/mirage-project/mirage
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.